Publication Cover
Computers in the Schools
Interdisciplinary Journal of Practice, Theory, and Applied Research
Volume 41, 2024 - Issue 1
197
Views
0
CrossRef citations to date
0
Altmetric
Research Articles

High School Students’ Perceptions of 1:1 CSCL Environment in a Mathematics Classroom

, ORCID Icon, ORCID Icon & ORCID Icon
Pages 94-114 | Published online: 01 Aug 2023
 

Abstract

Most studies on technology integration in mathematics education are focused on teachers’ perceptions or students’ academic achievement. However, it is necessary to learn how students perceive their learning in this environment. This basic qualitative study focuses on students’ experiences with 1:1 computer-supported collaborative learning (CSCL) in an Algebraic Reasoning classroom. One hundred high school students were invited to participate in this study, nine primarily male students volunteered to share their experiences. We found that students perceived the environment to (1) be user-friendly, (2) provide a enjoyable experience, (3) support their learning, (4) provide multiple ways to learn, (5) allow them to “see” the concepts, (6) make previous interactions accessible, and (7) provide passive feedback

Disclosure statement

This study started in the Fall of 2020 while the first author was teaching at the research site. By the end of the study, his employment situation changed and he is now working for Amplify. Desmos, the software used in this study, is one of the products of this company.

Notes

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 429.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.